Skip to content
/ CLIP-GS Public

Official PyTorch implementation of the paper ‘CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding’

Notifications You must be signed in to change notification settings

gbliao/CLIP-GS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 

Repository files navigation

CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding

This is the code for CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding.

Citing

If you find our work useful, please consider citing:

@article{liao2024clip,
  title={CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding},
  author={Liao, Guibiao and Li, Jiankun and Bao, Zhenyu and Ye, Xiaoqing and Wang, Jingdong and Li, Qing and Liu, Kanglin},
  journal={arXiv preprint arXiv:2404.14249},
  year={2024}
}

About

Official PyTorch implementation of the paper ‘CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding’

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published